Prof. Nando Kim's Trends Korea 2025: A summary of trends centered on artificial intelligence

In 2025, artificial intelligence (AI) is expected to become more deeply embedded in our lives, revolutionizing society and industries. Professor Nando Kim's 'Trends Korea 2025' lays out the macro and micro trends that reflect this shift, and one of the technologies at the center of it is the Artificial intelligenceIn this article, we'll be using the Summarize the key AI-related takeaways from Trends 2025 KoreaLet's try it.

1. Face-Tech: A world where faces read.

Face-Techis an AI-coupled Facial recognition technologywhich goes beyond simply recognizing faces to The art of reading facial expressions and emotionsfor security purposes. The technology is moving beyond facial recognition, which has traditionally been used only for security purposes, to understanding people's emotional states and reacting to them. For example, airports will soon be able to let you in without a passport or ID based on facial recognition alone, or cars will be able to respond to the driver's Detect fatigue statusThere are technologies that can provide harm warnings. These technologies are making the user experience more intuitive and personalized, and with advances in AI, they're showing promise for broader applications.

• ApplicationsTags: Public Safety, Smart Devices, Robotics, Self-driving Vehicles
• Combining with AI: not only face recognition, but also Facial expression analysisand even emotion recognition, making human-machine interaction even more A friendly, intuitive experiencein the file.

2. Co-evolutionary strategy: Evolving industry ecosystems with AI

Co-evolution StrategyIn a rapidly changing industry environment, the Adapt to changes in AI and technology, collaborate, and grow togetherThe message is that you have to. In the past, companies could grow independently, The Age of AIIn the ecosystem, the Collaborationand Sharing datais essential. For self-driving cars to work smoothly, AI needs to be able to understand the Driving informationand share it, Charging infrastructureThis collaboration favors symbiosis over competition between companies, maximizing their respective strengths to advance the industry as a whole.

• The role of AI: Business-to-Business Sharing dataand Coevolution through collaborationto enable innovative technological advances.
• Examples: electric vehicles, smart homes, Internet of Things (IoT) Promote sustainable development and mutual benefits through industry convergence.

3. Physicality appeal: The physical experience of AI and robots

As technology evolves to deliver more and more humanized experiences, Material Appealis defined as the new ways AI and robots can deliver physical experiences. For example, interacting with an AI-powered robot is no longer just through text or a screen, Interacting with real-world physical beingsthe user experience is much richer. This means that AI doesn't just exist as software, Physical form of the robotwhich is materialized as a More realistic experiencesin the file.

• Applications: AI robots, virtual reality (VR), augmented reality (AR), and other areas that require physical interaction.
• AI and MaterializationWhen AI interacts with a robot that has a physical form, the user experience becomes much more realistic and immersive. It's a far different interaction than simply talking to software.

4. AI-Powered Climate Sensitivity: Advancing Sustainable Technology

Climate change is no longer a problem of the distant future; it's a serious issue we face today. AI-powered climate sensitivity Trends are Artificial intelligence analyzes climate change databy using Sustainable solutionsfor the future. AI can use climate data to help Increase energy efficiency and Predictive models to reduce carbon emissionsfor businesses and governments. This enables businesses and governments to reduce their environmental impact and create sustainable growth strategies.

• Contributions from AI: Analyzing climate data to help Predictive modelsto provide a Energy savingsand Protecting the environmentin a practical way.
• ExamplesAI-powered Smart Grid System, Energy management systemsto regulate and efficiently distribute energy demand in real time. Carbon emissionsis being reduced.

5. Consumption with AI: Personalized Experiences

Omnivore Trends are Leverage AI technology to analyze individual spending patternsand, Personalized experiencesin the future. AI learns from consumer data to understand each individual's tastes and behaviors, and then uses this knowledge to create Personalized product recommendationsand Service deliveryfor consumers. This technology allows consumers to create their own More suitable productsquickly, and businesses can maximize consumer satisfaction.

• The role of AIAnalyze consumer data Better personalized servicein the file.
• ExamplesAI-powered Personalized recommendation system, Personalized shopping experiencesto deliver the right products and services to each consumer.

Getting organized: Trends Korea 2025

Trends 2025 Koreahas set a clear direction for how AI will permeate our lives and industries. AI is more than just a technology, and will become increasingly important in areas as diverse as facial recognition, co-evolutionary strategies, and physical attraction. As we prepare for a future with AI, we are entering a new paradigm of coexistence with technology.

Artificial intelligence is rapidly entering our lives, and how do we surf this huge wave? I'm going to share with you my experience as a non-technical person, so take a moment to look at the Coding with AI - Getting familiar Why not review the post? It's almost as fun as the 2025 Trends Korea post.

# Glossary

• Artificial Intelligence (AI)Artificial intelligence: A computer system that mimics human intelligent behavior. The art of learning, reasoning, problem solving, etc. to deal with a variety of problems.
• Face-TechFacial recognition technology, an AI-based technology that not only identifies faces but also analyzes facial expressions and emotions. Used in security, hospitality, healthcare, and more.
• Co-evolution StrategyThe process of two or more systems or organizations interacting and evolving together. As AI technology evolves, collaboration and coexistence are essential strategies.
• Material AppealThe physicalization of otherwise invisible technology to give users an immersive experience. Often seen in AI robotics, VR, and AR technologies.
• Climate SensitivityAwareness of and response to climate change, using AI to analyze climate data to improve energy efficiency or reduce carbon emissions.
• OmnivoreA term that refers to people with different tastes and consumption habits. AI analyzes consumer taste data to provide personalized services.